The similarity between the semantic network method of knowledge representation in artificial intelligence and shastric Sanskrit was recently pointed out by Briggs. As a step towards further research in this field, we give here an overview of semantic networks and natural-language understanding based on semantic networks. It is shown that linguistic case frames are necessary for semantic network...

We describe a learning approach to automatically building knowledge bases for information extraction from multiple text based web pages. A frame based representation is introduced to represent domain knowledge as knowledge unit frames. A frame learning algorithm is developed to automatically learn knowledge unit frames from training examples. Some training examples can be obtained by automatica...

In this paper, we investigate the possibility of using visual information to improve the text based ranking. Both a structure based representation (using the similarity matrix of the frames of one video) as well as a key-frame based representation (using visual words) is evaluated. It appears that only in some queries the visual information can improve the performance by reranking. The presente...

This article is concerned with frame constructions on domains and manifolds. The starting point is a unitary group representation which is square integrable modulo a suitable subgroup and therefore gives rise to a generalized continuous wavelet transform. Then generalized coorbit spaces can be defined by collecting all functions for which this wavelet transform is contained in a weighted Lp-spa...

An architecture for building distributed intelligent systems is considered, based on production-frame knowledge representation with distributed frame hierarchy, in which knowledge fragments located on different network nodes can be used cooperatively in the process of distributed or local inference. Frame knowledge representation can also serve as a common denominator when integrating knowledge...

In edge-assisted visual Simultaneous Localization and Mapping (SLAM), mobile devices offload computationally intensive tasks to an edge cloud. The device should transfer its input data the cloud in a resource-efficient way, especially SLAM systems with their very large image frame data. Most state-of-the-art use conventional Analyze-Then-Compress (ATC) approach that pre-analyzes captured frames...

We investigate the relevance of admissibility criteria based on Plancherel measure for the characterization of tight Weyl-Heisenberg frames with integer oversampling. For this purpose we observe that functions giving rise to such Weyl-Heisenberg frames are admissible with regard to the action of a suitably defined type-I discrete group G. This allows to relate the construction of Weyl-Heisenber...

Thermography is being increasingly used in building inspection due to its capability determine various defects, as this enables the development of improvement strategies for efficient energy consumption. In paper, AI algorithms are combined, and new segmentation proposed improve accuracy insulation assessments. Paired visual IR pictures taken from same angle complementarily feed different seque...

Block frames called directional analytic discrete cosine frames (DADCFs) are proposed for sparse image representation. In contrast to conventional overlapped frames, the DADCFs require a reduced amount of 1) computational complexity, 2) memory usage, and 3) global access. These characteristics strongly required current high-resolution processing. Specifically, we propose two based on tra...

Partial frames provide a rich context in which to do pointfree structured and unstructured topology. A small collection of axioms of an elementary nature allows one to do much traditional pointfree topology, both on the level of frames or locales, and that of uniform or metric frames. These axioms are sufficiently general to include as examples bounded distributive...